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AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for
  Image Denoising, Semantic Segmentation, and Radiomics Evaluation

AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation

16 August 2023
Zhiyu Ma
Chen Li
Tianming Du
Le Zhang
Dechao Tang
Deguo Ma
Shanchuan Huang
Yan Liu
Yihao Sun
Zhihao Chen
Jingjing Yuan
Qi Nie
M. Grzegorzek
Hongzan Sun
ArXivPDFHTML

Papers citing "AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation"

4 / 4 papers shown
Title
Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT Images
Attention GhostUNet++: Enhanced Segmentation of Adipose Tissue and Liver in CT Images
Mansoor Hayat
S. Aramvith
Subrata Bhattacharjee
Nouman Ahmad
23
0
0
14 Apr 2025
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li
Alan L. Yuille
Zongwei Zhou
MedIm
41
8
0
20 Jan 2025
DeepCervix: A Deep Learning-based Framework for the Classification of
  Cervical Cells Using Hybrid Deep Feature Fusion Techniques
DeepCervix: A Deep Learning-based Framework for the Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques
M. Rahaman
Chen Li
Yudong Yao
Frank Kulwa
Xiangchen Wu
Xirong Li
Qian Wang
36
188
0
24 Feb 2021
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,608
0
19 Feb 2017
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